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本文讨论了IHS彩色变换和主成分变换在苏州市TM多波段图像信息提取研究中的应用效果。研究表明,地物在多波段数据的彩色合成图像上具有较为稳定、特征的色调信息。利用苏州市水体、植被、城镇三大类地物的色调特征对TM_3(红)、TM_4(绿)、TM_5(蓝)彩色合成图像的色调成分H作了伪彩色密度分割,准确地反映了它们的分布状况。在主成分图像的IHS反变换彩色合成图像上,主成分的信息内容得到了定量、形象直观的反映,苏州市新旧城区的光谱差异、该市现状以及现代城市规划特点得到了清晰的显现。水稻、菜地、山地之间的光谱差异也得到明显的增强。主成分变换和彩色变换相结合,为多波段数据信息提取提供了一种新的方法。
This paper discusses the application of IHS color transform and principal component transform in the study of multi-band image information extraction of Suzhou TM. The results show that the object has more stable and characteristic hue information in the color composite image of multi-band data. Based on the color features of water bodies, vegetation and towns in Suzhou City, the color components H of TM_3 (red), TM_4 (green) and TM_5 (blue) color composite images are divided by pseudo color density to accurately reflect them The distribution of. On the IHS inverse color composite image of the principal component image, the content of the principal component is quantitatively and vividly reflected, and the spectral differences between the old and the new urban areas of Suzhou are clearly shown. The status quo of the city and the characteristics of modern urban planning are clearly shown. Spectral differences between rice, vegetable fields and mountains have also been significantly enhanced. The combination of principal component transform and color transform provides a new method for multi-band data extraction.